This paper is in the following e-collection/theme issue:

2016 Special Iss "Optimization, Data Mining, and Statistical Management of Bio-data in Medical Industry Informatization" (2) Electronic Health Records (1053)

Published on in Vol 6, No 4 (2018): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9965, first published .
Clinical Named Entity Recognition From Chinese Electronic Health Records via Machine Learning Methods

Clinical Named Entity Recognition From Chinese Electronic Health Records via Machine Learning Methods

Clinical Named Entity Recognition From Chinese Electronic Health Records via Machine Learning Methods

Authors of this article:

Yu Zhang1 Author Orcid Image ;   Xuwen Wang1 Author Orcid Image ;   Zhen Hou1 Author Orcid Image ;   Jiao Li1 Author Orcid Image
Article Authors Cited by (34) Tweetations (1) Metrics

Journals

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  17. Yang L, Zheng S, Xu X, Sun Y, Wang X, Li J. Medical Data Mining Course Development in Postgraduate Medical Education: Web-Based Survey and Case Study. JMIR Medical Education 2021;7(4):e24027 View
  18. Wang P, Li Y, Yang L, Li S, Li L, Zhao Z, Long S, Wang F, Wang H, Li Y, Wang C. An Efficient Method for Deidentifying Protected Health Information in Chinese Electronic Health Records: Algorithm Development and Validation. JMIR Medical Informatics 2022;10(8):e38154 View
  19. Yang L, Huang X, Wang J, Yang X, Ding L, Li Z, Li J. Identifying stroke-related quantified evidence from electronic health records in real-world studies. Artificial Intelligence in Medicine 2023;140:102552 View
  20. Goenaga I, Andres E, Gojenola K, Atutxa A. Advances in monolingual and crosslingual automatic disability annotation in Spanish. BMC Bioinformatics 2023;24(1) View
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  22. Li X, Sun S, Tang T, Lu J, Zhang L, Yin J, Geng Q, Wu Y. Construction of a knowledge graph for breast cancer diagnosis based on Chinese electronic medical records: development and usability study. BMC Medical Informatics and Decision Making 2023;23(1) View
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  25. He W, Han Y, Zuo Y, Bai Y, Guo F. NBCR-ac4C: A Deep Learning Framework Based on Multivariate BERT for Human mRNA N4-Acetylcytidine Sites Prediction. Journal of Chemical Information and Modeling 2024;64(20):8074 View
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Books/Policy Documents

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